... merges, it s Wednesday. The flow state is dead. The joy is gone. We built this product because we were tired of that story. We believe the "Review Blocking Queue" is the single greatest enemy of developer happiness. The "LGTM" Trap For the last decade, we ve treated Code Review as a necessary evil. We accepted that to have quality, we had to sacrifice speed. We forced our most senior engineers to spend 40% of their week acting as human ... ... spellcheckers. They scroll through diffs, hunting for missing semicolons or unused imports, their eyes glazing over. The result? The "LGTM

... Netflix uses for recommendations). Here's the flow: USER FEEDBACK LOOP Write AI Suggests Accept/Deny/Retry System Learns Model Stats DB Model A: 85% Success rates Model B: 72% Model C: 91% Use this one! Thompson Sampling Algorithm Balances exploration vs exploitation Try new models Use proven models (10% of time) (90% of time) What's Thompson Sampling? Think of it like this: The Casino Analogy: You walk into a casino with 5 slot machines. Some pay out more than others ... ... emails Mistral is fastest for quick edits Week 3: Sarah just writes SourcePilot automatically uses GPT-4 for blog posts Switches to Claude when she's writing emails Uses Mistral for quick grammar checks Sarah's accept rate: 91% (vs

... tools mostly aimed at makers looking to vibe and make faster. Right now, I feel anxious for America (and the world) feel from political chaos and our economic prospects. Resilience in our community has been a source of strength. LGBT are also natural contrarians to the status quo to such an extent I would say it is even a builder superpower. As a gay founder who s launched startups, scaled platforms, and navigated venture capital, I ve seen firsthand ... ... queer founders create businesses that are more inclusive, more sustainable, and more empathetic. This morning, I was casually browsing Product Hunt, looking to see what LGBTQ

... build mobile apps. Soon hitting 50 new signups daily. All these signups came with massive LLM costs. Starting with just ~$4K, we burned through 30% of our budget in the first week with only $260 MRR. Our well-funded competitors offered 5 free code gen requests daily (30/month), while we provided just 1 request/user lifetime. Talked to users, they wanted to explore platform for free but even with our minimal free tier, costs were eating up our savings. Traffic kept ... ... blogs. We approached VCs but got no replies. We pivoted to a paid-only model after burning 60% of our funds. Still getting ~50 daily signups from our @daily.dev blog, but users expected the same free plans as competitors